10x Atera
Human uterine cervix
atera-wta-ffpe-human-cervical-cancer
silver Interactive viewer squamous cell carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_focus': DataTree[cyx] (4, 41877, 42001), (4, 20938, 21000), (4, 10469, 10500), (4, 5234, 5250), (4, 2617, 2625)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (41877, 42001), (20938, 21000), (10469, 10500), (5234, 5250), (2617, 2625)
│ └── 'nucleus_labels': DataTree[yx] (41877, 42001), (20938, 21000), (10469, 10500), (5234, 5250), (2617, 2625)
├── Points
│ └── 'transcripts': DataFrame with shape: (1235087993, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (717576, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (717576, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (719437, 2) (2D shapes)
└── Tables
└── 'table': AnnData (717576, 18028)
with coordinate systems:
▸ 'global', with elements:
morphology_focus (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("HJozpYNEQ652yzNM") # latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/HJozpYNEQ652yzNM
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid HJozpYNEQ652yzNM Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["HJozpYNEQ652yzNM0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Atera
- Organism
- human
- Tissue
- uterine cervix
- Condition
- squamous cell carcinoma
- Modality
- RNA
- Transcripts
- 1,235,087,993
- Tier
- silver
- Chemistry
- Atera Preproduction
- Size
- 37 GB
- Sample ID
- atera-wta-ffpe-human-cervical-cancer
- License
- CC BY 4.0
- Published
- Apr 18, 2026
Cite this dataset
No linked publication found — please cite the data source: 10x Genomics ↗.
Source: 10x Genomics ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB